NVIDIA Works With Deloitte to Deploy Digital AI Agents for Healthcare

NVIDIA Works With Deloitte to Deploy Digital AI Agents for Healthcare

Ahead of a visit to the hospital for a surgical procedure, patients often have plenty of questions about what to expect — and can be plenty nervous.

To help minimize presurgery jitters, NVIDIA and Deloitte are developing AI agents using NVIDIA AI to bring the next generation of digital, frontline teammates to patients before they even step foot inside the hospital.

These virtual teammates can have natural, human-like conversations with patients, answer a wide range of questions and provide supporting guidance prior to preadmission appointments at hospitals.

This demo shows one virtual representative in action, answering patient questions:

Working with NVIDIA, Deloitte has developed Frontline AI Teammate for use in settings like hospitals, where the digital avatar can have practical conversations — in any language — that give the end user, such as a patient, instant answers to pressing questions.

Powered by the NVIDIA AI Enterprise software platform, Frontline AI Teammate includes avatars, generative AI and large language models.

”Avatar-based conversational AI agents offer an incredible opportunity to reduce the productivity paradox that our healthcare system faces with digitization,” said Niraj Dalmia, partner at Deloitte Canada. “It could possibly be the complementary innovation that reduces administrative burden, complements our healthcare human resources to free up capacity and helps solve for patient experience challenges.”

Next-Gen Technologies Powering Digital Humans

Digital humans can provide lifelike interactions that can enhance experiences for doctors and patients.

Developers can tap into NVIDIA NIM microservices, which streamline the path for developing AI-powered applications and moving AI models into production, to craft digital humans for healthcare industry applications. NIM includes an easily adaptable NIM Agent Blueprint developers can use to create interactive, AI-driven avatars that are ideal for telehealth — as well as NVIDIA NeMo Retriever, an industry-leading embedding, retrieval and re-ranking model that allows for fast responses based on up-to-date healthcare data.

Customizable digital humans — like James, an interactive demo developed by NVIDIA — can handle tasks such as scheduling appointments, filling out intake forms and answering questions about upcoming health services. This can make healthcare services more efficient and more accessible to patients.

In addition to NIM microservices, James uses NVIDIA ACE and ElevenLabs digital human technologies to provide natural, low-latency responses.

NVIDIA ACE is a suite of AI, graphics and simulation technologies for bringing digital humans to life. It can integrate every aspect of a digital human into healthcare applications — from speech and translation abilities capable of understanding diverse accents and languages, to realistic animations of facial and body movements.

Deloitte’s Frontline AI Teammate, powered by the NVIDIA AI Enterprise platform and built on Deloitte’s Conversational AI Framework, is designed to deliver human-to-machine experiences in healthcare settings. Developed within the NVIDIA Omniverse platform, Deloitte’s lifelike avatar can respond to complex, domain-specific questions that are pivotal in healthcare delivery.

The avatar uses NVIDIA Riva for fluid, multilingual communication, helping ensure no patient is left behind due to language barriers. It’s also equipped with the NeMo Megatron-Turing 530B large language model for accurate understanding and processing of patient data. These advanced capabilities can make clinical visits less intimidating, especially for patients who may feel uneasy about medical environments.

Personalized Experiences for Hospital Patients

Patients can get overwhelmed with the amount of pre-operative information. Typically, they have only one preadmission appointment, many weeks before the surgery, which can leave them with lingering questions and escalating concerns. The stress of a serious diagnosis may prevent them from asking all the necessary questions during these brief interactions.

This can result in patients arriving unprepared for their preadmission appointments, lacking knowledge about the appointment’s purpose, duration, location and necessary documents, and potentially leading to delays or even rescheduling of their surgeries.

To enhance patient preparation and reduce pre-procedure anxiety, The Ottawa Hospital is using AI agents, powered by NVIDIA and Deloitte technologies, to provide more consistent, accurate and continuous access to information.

With the digital teammate, patients can experience benefits including:

  • 24/7 access to the digital teammate using a smartphone, tablet or home computer.
  • Reliable, preapproved answers to detailed questions, including information around anesthesia or the procedure itself.
  • Post-surgery consultation to resolve any questions about the recovery process, potentially improving treatment adherence and health outcomes.

In user acceptance testing of the digital teammate conducted this summer, a majority of the testers noted that responses provided were clear, relevant and met the needs of the given interaction.

“The Frontline AI Teammate offers a novel and innovative solution to help combat our health human resource crisis — it has the potential to reduce the administrative burden, giving back time to healthcare providers to provide the quality care our population deserves and expects from The Ottawa Hospital,” said Mathieu LeBreton, digital experience lead at The Ottawa Hospital.  “The opportunity to explore these technologies is well-timed, given the planning of the New Campus Development, a new hospital project in Ottawa. Proper identification of the problems we are trying to solve is imperative to ensure this is done responsibly and transparently.”

Deloitte is working with other hospitals and healthcare institutions to deploy digital agents. A patient-facing pilot with Ottawa Hospital is expected to go live by the end of the year.

Developers can get started by accessing the digital human NIM Agent Blueprint

Read More

NVIDIA Works With Deloitte to Deploy Digital AI Agents for Healthcare

NVIDIA Works With Deloitte to Deploy Digital AI Agents for Healthcare

Ahead of a visit to the hospital for a surgical procedure, patients often have plenty of questions about what to expect — and can be plenty nervous.

To help minimize presurgery jitters, NVIDIA and Deloitte are developing AI agents using NVIDIA AI to bring the next generation of digital, frontline teammates to patients before they even step foot inside the hospital.

These virtual teammates can have natural, human-like conversations with patients, answer a wide range of questions and provide supporting guidance prior to preadmission appointments at hospitals.

This demo shows one virtual representative in action, answering patient questions:

Working with NVIDIA, Deloitte has developed Frontline AI Teammate for use in settings like hospitals, where the digital avatar can have practical conversations — in any language — that give the end user, such as a patient, instant answers to pressing questions.

Powered by the NVIDIA AI Enterprise software platform, Frontline AI Teammate includes avatars, generative AI and large language models.

”Avatar-based conversational AI agents offer an incredible opportunity to reduce the productivity paradox that our healthcare system faces with digitization,” said Niraj Dalmia, partner at Deloitte Canada. “It could possibly be the complementary innovation that reduces administrative burden, complements our healthcare human resources to free up capacity and helps solve for patient experience challenges.”

Next-Gen Technologies Powering Digital Humans

Digital humans can provide lifelike interactions that can enhance experiences for doctors and patients.

Developers can tap into NVIDIA NIM microservices, which streamline the path for developing AI-powered applications and moving AI models into production, to craft digital humans for healthcare industry applications. NIM includes an easily adaptable NIM Agent Blueprint developers can use to create interactive, AI-driven avatars that are ideal for telehealth — as well as NVIDIA NeMo Retriever, an industry-leading embedding, retrieval and re-ranking model that allows for fast responses based on up-to-date healthcare data.

Customizable digital humans — like James, an interactive demo developed by NVIDIA — can handle tasks such as scheduling appointments, filling out intake forms and answering questions about upcoming health services. This can make healthcare services more efficient and more accessible to patients.

In addition to NIM microservices, James uses NVIDIA ACE and ElevenLabs digital human technologies to provide natural, low-latency responses.

NVIDIA ACE is a suite of AI, graphics and simulation technologies for bringing digital humans to life. It can integrate every aspect of a digital human into healthcare applications — from speech and translation abilities capable of understanding diverse accents and languages, to realistic animations of facial and body movements.

Deloitte’s Frontline AI Teammate, powered by the NVIDIA AI Enterprise platform and built on Deloitte’s Conversational AI Framework, is designed to deliver human-to-machine experiences in healthcare settings. Developed within the NVIDIA Omniverse platform, Deloitte’s lifelike avatar can respond to complex, domain-specific questions that are pivotal in healthcare delivery.

The avatar uses NVIDIA Riva for fluid, multilingual communication, helping ensure no patient is left behind due to language barriers. It’s also equipped with the NeMo Megatron-Turing 530B large language model for accurate understanding and processing of patient data. These advanced capabilities can make clinical visits less intimidating, especially for patients who may feel uneasy about medical environments.

Personalized Experiences for Hospital Patients

Patients can get overwhelmed with the amount of pre-operative information. Typically, they have only one preadmission appointment, many weeks before the surgery, which can leave them with lingering questions and escalating concerns. The stress of a serious diagnosis may prevent them from asking all the necessary questions during these brief interactions.

This can result in patients arriving unprepared for their preadmission appointments, lacking knowledge about the appointment’s purpose, duration, location and necessary documents, and potentially leading to delays or even rescheduling of their surgeries.

To enhance patient preparation and reduce pre-procedure anxiety, The Ottawa Hospital is using AI agents, powered by NVIDIA and Deloitte technologies, to provide more consistent, accurate and continuous access to information.

With the digital teammate, patients can experience benefits including:

  • 24/7 access to the digital teammate using a smartphone, tablet or home computer.
  • Reliable, preapproved answers to detailed questions, including information around anesthesia or the procedure itself.
  • Post-surgery consultation to resolve any questions about the recovery process, potentially improving treatment adherence and health outcomes.

In user acceptance testing of the digital teammate conducted this summer, a majority of the testers noted that responses provided were clear, relevant and met the needs of the given interaction.

“The Frontline AI Teammate offers a novel and innovative solution to help combat our health human resource crisis — it has the potential to reduce the administrative burden, giving back time to healthcare providers to provide the quality care our population deserves and expects from The Ottawa Hospital,” said Mathieu LeBreton, digital experience lead at The Ottawa Hospital.  “The opportunity to explore these technologies is well-timed, given the planning of the New Campus Development, a new hospital project in Ottawa. Proper identification of the problems we are trying to solve is imperative to ensure this is done responsibly and transparently.”

Deloitte is working with other hospitals and healthcare institutions to deploy digital agents. A patient-facing pilot with Ottawa Hospital is expected to go live by the end of the year.

Developers can get started by accessing the digital human NIM Agent Blueprint

Read More

NVIDIA and Microsoft Give AI Startups a Double Dose of Acceleration

NVIDIA is expanding its collaboration with Microsoft to support global AI startups across industries — with an initial focus on healthcare and life sciences companies.

Announced today at the HLTH healthcare innovation conference, the initiative connects the startup ecosystem by bringing together the NVIDIA Inception global program for cutting-edge startups and Microsoft for Startups to broaden innovators’ access to accelerated computing by providing cloud credits, software for AI development and the support of technical and business experts.

The first phase will focus on high-potential digital health and life sciences companies that are part of both programs. Future phases will focus on startups in other industries.

Microsoft for Startups will provide each company with $150,000 of Microsoft Azure credits to access leading AI models, up to $200,000 worth of Microsoft business tools, and priority access to its Pegasus Program for go-to-market support.

NVIDIA Inception will provide 10,000 ai.nvidia.com inference credits to run GPU-optimized AI models through NVIDIA-managed serverless APIs; preferred pricing on NVIDIA AI Enterprise, which includes the full suite of NVIDIA Clara healthcare and life sciences computing platforms, software and services; early access to new NVIDIA healthcare offerings; and opportunities to connect with investors through the Inception VC Alliance and with industry partners through the Inception Alliance for Healthcare.

Both companies will provide the selected startups with dedicated technical support and hands-on workshops to develop digital health applications with the NVIDIA technology stack on Azure.

Supporting Startups at Every Stage

Hundreds of companies are already part of both NVIDIA Inception and Microsoft for Startups, using the combination of accelerated computing infrastructure and cutting-edge AI to advance their work.

Artisight, for example, is a smart hospital startup using AI to improve operational efficiency, documentation and care coordination in order to reduce the administrative burden on clinical staff and improve the patient experience. Its smart hospital network includes over 2,000 cameras and microphones at Northwestern Medicine, in Chicago, and over 200 other hospitals.

The company uses speech recognition models that can automate patient check-in with voice-enabled kiosks and computer vision models that can alert nurses when a patient is at risk of falling. Its products use software including NVIDIA Riva for conversational AI, NVIDIA DeepStream for vision AI and NVIDIA Triton Inference server to simplify AI inference in production.

“Access to the latest AI technologies is critical to developing smart hospital solutions that are reliable enough to be deployed in real-world clinical settings,” said Andrew Gostine, founder and CEO of Artisight. “The support of NVIDIA Inception and Microsoft for Startups has enabled our company to scale our products to help top U.S. hospitals care for thousands of patients.”

Another company, Pangaea Data, is helping healthcare organizations and pharmaceutical companies identify patients who remain undertreated or untreated despite available intelligence in their existing medical records. The company’s PALLUX platform supports clinicians at the point of care by finding more patients for screening and treatment. Deployed with NVIDIA GPUs on Azure’s HIPAA-compliant, secure cloud environment, PALLUX uses the NVIDIA FLARE federated learning framework to preserve patient privacy while driving improvement in health outcomes.

PALLUX helped one healthcare provider find 6x more cancer patients with cachexia — a condition characterized by loss of weight and muscle mass — for treatment and clinical trials. Pangaea Data’s platform achieved 90% accuracy and was deployed on the provider’s existing infrastructure within 12 weeks.

“By building our platform on a trusted cloud environment, we’re offering healthcare providers and pharmaceutical companies a solution to uncover insights from existing health records and realize the true promise of precision medicine and preventative healthcare,” said Pangaea Data CEO Vibhor Gupta. “Microsoft and NVIDIA have supported our work with powerful virtual machines and AI software, enabling us to focus on advancing our platform, rather than infrastructure management.”

Other startups participating in both programs and using NVIDIA GPUs on Azure include: 

  • Artificial, a lab orchestration startup that enables researchers to digitize end-to-end scientific workflows with AI tools that optimize scheduling, automate data entry tasks and guide scientists in real time using virtual assistants. The company is exploring the use of NVIDIA BioNeMo, an AI platform for drug discovery.
  • BeeKeeperAI, which enables secure computing on sensitive data, including regulated data that can’t be anonymized or de-identified. Its EscrowAI platform integrates trusted execution environments with confidential computing and other privacy-enhancing technologies — including NVIDIA H100 Tensor Core GPUs — to meet data protection requirements and protect data sovereignty, individual privacy and intellectual property.
  • Niramai, a startup that has developed an AI-powered medical device for early breast cancer detection. Its Thermalytix solution is a low-cost, portable screening tool that has been used to help screen over 250,000 women in 18 countries.

Building on a Trove of Healthcare Resources

Microsoft earlier this year announced a collaboration with NVIDIA to boost healthcare and life sciences organizations with generative AI, accelerated computing and the cloud.

Aimed at supporting projects in clinical research, drug discovery, medical imaging and precision medicine, this collaboration brought together Microsoft Azure with NVIDIA DGX Cloud, an end-to-end, scalable AI platform for developers.

It also provides users of NVIDIA DGX Cloud on Azure access to NVIDIA Clara, including domain-specific resources such as NVIDIA BioNeMo, a generative AI platform for drug discovery; NVIDIA MONAI, a suite of enterprise-grade AI for medical imaging; and NVIDIA Parabricks, a software suite designed to accelerate processing of sequencing data for genomics applications.

Join the Microsoft for Startups Founders Hub and the NVIDIA Inception program. 

Read More

NVIDIA and Microsoft Give AI Startups a Double Dose of Acceleration

NVIDIA is expanding its collaboration with Microsoft to support global AI startups across industries — with an initial focus on healthcare and life sciences companies.

Announced today at the HLTH healthcare innovation conference, the initiative connects the startup ecosystem by bringing together the NVIDIA Inception global program for cutting-edge startups and Microsoft for Startups to broaden innovators’ access to accelerated computing by providing cloud credits, software for AI development and the support of technical and business experts.

The first phase will focus on high-potential digital health and life sciences companies that are part of both programs. Future phases will focus on startups in other industries.

Microsoft for Startups will provide each company with $150,000 of Microsoft Azure credits to access leading AI models, up to $200,000 worth of Microsoft business tools, and priority access to its Pegasus Program for go-to-market support.

NVIDIA Inception will provide 10,000 ai.nvidia.com inference credits to run GPU-optimized AI models through NVIDIA-managed serverless APIs; preferred pricing on NVIDIA AI Enterprise, which includes the full suite of NVIDIA Clara healthcare and life sciences computing platforms, software and services; early access to new NVIDIA healthcare offerings; and opportunities to connect with investors through the Inception VC Alliance and with industry partners through the Inception Alliance for Healthcare.

Both companies will provide the selected startups with dedicated technical support and hands-on workshops to develop digital health applications with the NVIDIA technology stack on Azure.

Supporting Startups at Every Stage

Hundreds of companies are already part of both NVIDIA Inception and Microsoft for Startups, using the combination of accelerated computing infrastructure and cutting-edge AI to advance their work.

Artisight, for example, is a smart hospital startup using AI to improve operational efficiency, documentation and care coordination in order to reduce the administrative burden on clinical staff and improve the patient experience. Its smart hospital network includes over 2,000 cameras and microphones at Northwestern Medicine, in Chicago, and over 200 other hospitals.

The company uses speech recognition models that can automate patient check-in with voice-enabled kiosks and computer vision models that can alert nurses when a patient is at risk of falling. Its products use software including NVIDIA Riva for conversational AI, NVIDIA DeepStream for vision AI and NVIDIA Triton Inference server to simplify AI inference in production.

“Access to the latest AI technologies is critical to developing smart hospital solutions that are reliable enough to be deployed in real-world clinical settings,” said Andrew Gostine, founder and CEO of Artisight. “The support of NVIDIA Inception and Microsoft for Startups has enabled our company to scale our products to help top U.S. hospitals care for thousands of patients.”

Another company, Pangaea Data, is helping healthcare organizations and pharmaceutical companies identify patients who remain undertreated or untreated despite available intelligence in their existing medical records. The company’s PALLUX platform supports clinicians at the point of care by finding more patients for screening and treatment. Deployed with NVIDIA GPUs on Azure’s HIPAA-compliant, secure cloud environment, PALLUX uses the NVIDIA FLARE federated learning framework to preserve patient privacy while driving improvement in health outcomes.

PALLUX helped one healthcare provider find 6x more cancer patients with cachexia — a condition characterized by loss of weight and muscle mass — for treatment and clinical trials. Pangaea Data’s platform achieved 90% accuracy and was deployed on the provider’s existing infrastructure within 12 weeks.

“By building our platform on a trusted cloud environment, we’re offering healthcare providers and pharmaceutical companies a solution to uncover insights from existing health records and realize the true promise of precision medicine and preventative healthcare,” said Pangaea Data CEO Vibhor Gupta. “Microsoft and NVIDIA have supported our work with powerful virtual machines and AI software, enabling us to focus on advancing our platform, rather than infrastructure management.”

Other startups participating in both programs and using NVIDIA GPUs on Azure include: 

  • Artificial, a lab orchestration startup that enables researchers to digitize end-to-end scientific workflows with AI tools that optimize scheduling, automate data entry tasks and guide scientists in real time using virtual assistants. The company is exploring the use of NVIDIA BioNeMo, an AI platform for drug discovery.
  • BeeKeeperAI, which enables secure computing on sensitive data, including regulated data that can’t be anonymized or de-identified. Its EscrowAI platform integrates trusted execution environments with confidential computing and other privacy-enhancing technologies — including NVIDIA H100 Tensor Core GPUs — to meet data protection requirements and protect data sovereignty, individual privacy and intellectual property.
  • Niramai, a startup that has developed an AI-powered medical device for early breast cancer detection. Its Thermalytix solution is a low-cost, portable screening tool that has been used to help screen over 250,000 women in 18 countries.

Building on a Trove of Healthcare Resources

Microsoft earlier this year announced a collaboration with NVIDIA to boost healthcare and life sciences organizations with generative AI, accelerated computing and the cloud.

Aimed at supporting projects in clinical research, drug discovery, medical imaging and precision medicine, this collaboration brought together Microsoft Azure with NVIDIA DGX Cloud, an end-to-end, scalable AI platform for developers.

It also provides users of NVIDIA DGX Cloud on Azure access to NVIDIA Clara, including domain-specific resources such as NVIDIA BioNeMo, a generative AI platform for drug discovery; NVIDIA MONAI, a suite of enterprise-grade AI for medical imaging; and NVIDIA Parabricks, a software suite designed to accelerate processing of sequencing data for genomics applications.

Join the Microsoft for Startups Founders Hub and the NVIDIA Inception program. 

Read More

NVIDIA and Microsoft Give AI Startups a Double Dose of Acceleration

NVIDIA is expanding its collaboration with Microsoft to support global AI startups across industries — with an initial focus on healthcare and life sciences companies.

Announced today at the HLTH healthcare innovation conference, the initiative connects the startup ecosystem by bringing together the NVIDIA Inception global program for cutting-edge startups and Microsoft for Startups to broaden innovators’ access to accelerated computing by providing cloud credits, software for AI development and the support of technical and business experts.

The first phase will focus on high-potential digital health and life sciences companies that are part of both programs. Future phases will focus on startups in other industries.

Microsoft for Startups will provide each company with $150,000 of Microsoft Azure credits to access leading AI models, up to $200,000 worth of Microsoft business tools, and priority access to its Pegasus Program for go-to-market support.

NVIDIA Inception will provide 10,000 ai.nvidia.com inference credits to run GPU-optimized AI models through NVIDIA-managed serverless APIs; preferred pricing on NVIDIA AI Enterprise, which includes the full suite of NVIDIA Clara healthcare and life sciences computing platforms, software and services; early access to new NVIDIA healthcare offerings; and opportunities to connect with investors through the Inception VC Alliance and with industry partners through the Inception Alliance for Healthcare.

Both companies will provide the selected startups with dedicated technical support and hands-on workshops to develop digital health applications with the NVIDIA technology stack on Azure.

Supporting Startups at Every Stage

Hundreds of companies are already part of both NVIDIA Inception and Microsoft for Startups, using the combination of accelerated computing infrastructure and cutting-edge AI to advance their work.

Artisight, for example, is a smart hospital startup using AI to improve operational efficiency, documentation and care coordination in order to reduce the administrative burden on clinical staff and improve the patient experience. Its smart hospital network includes over 2,000 cameras and microphones at Northwestern Medicine, in Chicago, and over 200 other hospitals.

The company uses speech recognition models that can automate patient check-in with voice-enabled kiosks and computer vision models that can alert nurses when a patient is at risk of falling. Its products use software including NVIDIA Riva for conversational AI, NVIDIA DeepStream for vision AI and NVIDIA Triton Inference server to simplify AI inference in production.

“Access to the latest AI technologies is critical to developing smart hospital solutions that are reliable enough to be deployed in real-world clinical settings,” said Andrew Gostine, founder and CEO of Artisight. “The support of NVIDIA Inception and Microsoft for Startups has enabled our company to scale our products to help top U.S. hospitals care for thousands of patients.”

Another company, Pangaea Data, is helping healthcare organizations and pharmaceutical companies identify patients who remain undertreated or untreated despite available intelligence in their existing medical records. The company’s PALLUX platform supports clinicians at the point of care by finding more patients for screening and treatment. Deployed with NVIDIA GPUs on Azure’s HIPAA-compliant, secure cloud environment, PALLUX uses the NVIDIA FLARE federated learning framework to preserve patient privacy while driving improvement in health outcomes.

PALLUX helped one healthcare provider find 6x more cancer patients with cachexia — a condition characterized by loss of weight and muscle mass — for treatment and clinical trials. Pangaea Data’s platform achieved 90% accuracy and was deployed on the provider’s existing infrastructure within 12 weeks.

“By building our platform on a trusted cloud environment, we’re offering healthcare providers and pharmaceutical companies a solution to uncover insights from existing health records and realize the true promise of precision medicine and preventative healthcare,” said Pangaea Data CEO Vibhor Gupta. “Microsoft and NVIDIA have supported our work with powerful virtual machines and AI software, enabling us to focus on advancing our platform, rather than infrastructure management.”

Other startups participating in both programs and using NVIDIA GPUs on Azure include: 

  • Artificial, a lab orchestration startup that enables researchers to digitize end-to-end scientific workflows with AI tools that optimize scheduling, automate data entry tasks and guide scientists in real time using virtual assistants. The company is exploring the use of NVIDIA BioNeMo, an AI platform for drug discovery.
  • BeeKeeperAI, which enables secure computing on sensitive data, including regulated data that can’t be anonymized or de-identified. Its EscrowAI platform integrates trusted execution environments with confidential computing and other privacy-enhancing technologies — including NVIDIA H100 Tensor Core GPUs — to meet data protection requirements and protect data sovereignty, individual privacy and intellectual property.
  • Niramai, a startup that has developed an AI-powered medical device for early breast cancer detection. Its Thermalytix solution is a low-cost, portable screening tool that has been used to help screen over 250,000 women in 18 countries.

Building on a Trove of Healthcare Resources

Microsoft earlier this year announced a collaboration with NVIDIA to boost healthcare and life sciences organizations with generative AI, accelerated computing and the cloud.

Aimed at supporting projects in clinical research, drug discovery, medical imaging and precision medicine, this collaboration brought together Microsoft Azure with NVIDIA DGX Cloud, an end-to-end, scalable AI platform for developers.

It also provides users of NVIDIA DGX Cloud on Azure access to NVIDIA Clara, including domain-specific resources such as NVIDIA BioNeMo, a generative AI platform for drug discovery; NVIDIA MONAI, a suite of enterprise-grade AI for medical imaging; and NVIDIA Parabricks, a software suite designed to accelerate processing of sequencing data for genomics applications.

Join the Microsoft for Startups Founders Hub and the NVIDIA Inception program. 

Read More

NVIDIA and Microsoft Give AI Startups a Double Dose of Acceleration

NVIDIA is expanding its collaboration with Microsoft to support global AI startups across industries — with an initial focus on healthcare and life sciences companies.

Announced today at the HLTH healthcare innovation conference, the initiative connects the startup ecosystem by bringing together the NVIDIA Inception global program for cutting-edge startups and Microsoft for Startups to broaden innovators’ access to accelerated computing by providing cloud credits, software for AI development and the support of technical and business experts.

The first phase will focus on high-potential digital health and life sciences companies that are part of both programs. Future phases will focus on startups in other industries.

Microsoft for Startups will provide each company with $150,000 of Microsoft Azure credits to access leading AI models, up to $200,000 worth of Microsoft business tools, and priority access to its Pegasus Program for go-to-market support.

NVIDIA Inception will provide 10,000 ai.nvidia.com inference credits to run GPU-optimized AI models through NVIDIA-managed serverless APIs; preferred pricing on NVIDIA AI Enterprise, which includes the full suite of NVIDIA Clara healthcare and life sciences computing platforms, software and services; early access to new NVIDIA healthcare offerings; and opportunities to connect with investors through the Inception VC Alliance and with industry partners through the Inception Alliance for Healthcare.

Both companies will provide the selected startups with dedicated technical support and hands-on workshops to develop digital health applications with the NVIDIA technology stack on Azure.

Supporting Startups at Every Stage

Hundreds of companies are already part of both NVIDIA Inception and Microsoft for Startups, using the combination of accelerated computing infrastructure and cutting-edge AI to advance their work.

Artisight, for example, is a smart hospital startup using AI to improve operational efficiency, documentation and care coordination in order to reduce the administrative burden on clinical staff and improve the patient experience. Its smart hospital network includes over 2,000 cameras and microphones at Northwestern Medicine, in Chicago, and over 200 other hospitals.

The company uses speech recognition models that can automate patient check-in with voice-enabled kiosks and computer vision models that can alert nurses when a patient is at risk of falling. Its products use software including NVIDIA Riva for conversational AI, NVIDIA DeepStream for vision AI and NVIDIA Triton Inference server to simplify AI inference in production.

“Access to the latest AI technologies is critical to developing smart hospital solutions that are reliable enough to be deployed in real-world clinical settings,” said Andrew Gostine, founder and CEO of Artisight. “The support of NVIDIA Inception and Microsoft for Startups has enabled our company to scale our products to help top U.S. hospitals care for thousands of patients.”

Another company, Pangaea Data, is helping healthcare organizations and pharmaceutical companies identify patients who remain undertreated or untreated despite available intelligence in their existing medical records. The company’s PALLUX platform supports clinicians at the point of care by finding more patients for screening and treatment. Deployed with NVIDIA GPUs on Azure’s HIPAA-compliant, secure cloud environment, PALLUX uses the NVIDIA FLARE federated learning framework to preserve patient privacy while driving improvement in health outcomes.

PALLUX helped one healthcare provider find 6x more cancer patients with cachexia — a condition characterized by loss of weight and muscle mass — for treatment and clinical trials. Pangaea Data’s platform achieved 90% accuracy and was deployed on the provider’s existing infrastructure within 12 weeks.

“By building our platform on a trusted cloud environment, we’re offering healthcare providers and pharmaceutical companies a solution to uncover insights from existing health records and realize the true promise of precision medicine and preventative healthcare,” said Pangaea Data CEO Vibhor Gupta. “Microsoft and NVIDIA have supported our work with powerful virtual machines and AI software, enabling us to focus on advancing our platform, rather than infrastructure management.”

Other startups participating in both programs and using NVIDIA GPUs on Azure include: 

  • Artificial, a lab orchestration startup that enables researchers to digitize end-to-end scientific workflows with AI tools that optimize scheduling, automate data entry tasks and guide scientists in real time using virtual assistants. The company is exploring the use of NVIDIA BioNeMo, an AI platform for drug discovery.
  • BeeKeeperAI, which enables secure computing on sensitive data, including regulated data that can’t be anonymized or de-identified. Its EscrowAI platform integrates trusted execution environments with confidential computing and other privacy-enhancing technologies — including NVIDIA H100 Tensor Core GPUs — to meet data protection requirements and protect data sovereignty, individual privacy and intellectual property.
  • Niramai, a startup that has developed an AI-powered medical device for early breast cancer detection. Its Thermalytix solution is a low-cost, portable screening tool that has been used to help screen over 250,000 women in 18 countries.

Building on a Trove of Healthcare Resources

Microsoft earlier this year announced a collaboration with NVIDIA to boost healthcare and life sciences organizations with generative AI, accelerated computing and the cloud.

Aimed at supporting projects in clinical research, drug discovery, medical imaging and precision medicine, this collaboration brought together Microsoft Azure with NVIDIA DGX Cloud, an end-to-end, scalable AI platform for developers.

It also provides users of NVIDIA DGX Cloud on Azure access to NVIDIA Clara, including domain-specific resources such as NVIDIA BioNeMo, a generative AI platform for drug discovery; NVIDIA MONAI, a suite of enterprise-grade AI for medical imaging; and NVIDIA Parabricks, a software suite designed to accelerate processing of sequencing data for genomics applications.

Join the Microsoft for Startups Founders Hub and the NVIDIA Inception program. 

Read More

NVIDIA and Microsoft Give AI Startups a Double Dose of Acceleration

NVIDIA is expanding its collaboration with Microsoft to support global AI startups across industries — with an initial focus on healthcare and life sciences companies.

Announced today at the HLTH healthcare innovation conference, the initiative connects the startup ecosystem by bringing together the NVIDIA Inception global program for cutting-edge startups and Microsoft for Startups to broaden innovators’ access to accelerated computing by providing cloud credits, software for AI development and the support of technical and business experts.

The first phase will focus on high-potential digital health and life sciences companies that are part of both programs. Future phases will focus on startups in other industries.

Microsoft for Startups will provide each company with $150,000 of Microsoft Azure credits to access leading AI models, up to $200,000 worth of Microsoft business tools, and priority access to its Pegasus Program for go-to-market support.

NVIDIA Inception will provide 10,000 ai.nvidia.com inference credits to run GPU-optimized AI models through NVIDIA-managed serverless APIs; preferred pricing on NVIDIA AI Enterprise, which includes the full suite of NVIDIA Clara healthcare and life sciences computing platforms, software and services; early access to new NVIDIA healthcare offerings; and opportunities to connect with investors through the Inception VC Alliance and with industry partners through the Inception Alliance for Healthcare.

Both companies will provide the selected startups with dedicated technical support and hands-on workshops to develop digital health applications with the NVIDIA technology stack on Azure.

Supporting Startups at Every Stage

Hundreds of companies are already part of both NVIDIA Inception and Microsoft for Startups, using the combination of accelerated computing infrastructure and cutting-edge AI to advance their work.

Artisight, for example, is a smart hospital startup using AI to improve operational efficiency, documentation and care coordination in order to reduce the administrative burden on clinical staff and improve the patient experience. Its smart hospital network includes over 2,000 cameras and microphones at Northwestern Medicine, in Chicago, and over 200 other hospitals.

The company uses speech recognition models that can automate patient check-in with voice-enabled kiosks and computer vision models that can alert nurses when a patient is at risk of falling. Its products use software including NVIDIA Riva for conversational AI, NVIDIA DeepStream for vision AI and NVIDIA Triton Inference server to simplify AI inference in production.

“Access to the latest AI technologies is critical to developing smart hospital solutions that are reliable enough to be deployed in real-world clinical settings,” said Andrew Gostine, founder and CEO of Artisight. “The support of NVIDIA Inception and Microsoft for Startups has enabled our company to scale our products to help top U.S. hospitals care for thousands of patients.”

Another company, Pangaea Data, is helping healthcare organizations and pharmaceutical companies identify patients who remain undertreated or untreated despite available intelligence in their existing medical records. The company’s PALLUX platform supports clinicians at the point of care by finding more patients for screening and treatment. Deployed with NVIDIA GPUs on Azure’s HIPAA-compliant, secure cloud environment, PALLUX uses the NVIDIA FLARE federated learning framework to preserve patient privacy while driving improvement in health outcomes.

PALLUX helped one healthcare provider find 6x more cancer patients with cachexia — a condition characterized by loss of weight and muscle mass — for treatment and clinical trials. Pangaea Data’s platform achieved 90% accuracy and was deployed on the provider’s existing infrastructure within 12 weeks.

“By building our platform on a trusted cloud environment, we’re offering healthcare providers and pharmaceutical companies a solution to uncover insights from existing health records and realize the true promise of precision medicine and preventative healthcare,” said Pangaea Data CEO Vibhor Gupta. “Microsoft and NVIDIA have supported our work with powerful virtual machines and AI software, enabling us to focus on advancing our platform, rather than infrastructure management.”

Other startups participating in both programs and using NVIDIA GPUs on Azure include: 

  • Artificial, a lab orchestration startup that enables researchers to digitize end-to-end scientific workflows with AI tools that optimize scheduling, automate data entry tasks and guide scientists in real time using virtual assistants. The company is exploring the use of NVIDIA BioNeMo, an AI platform for drug discovery.
  • BeeKeeperAI, which enables secure computing on sensitive data, including regulated data that can’t be anonymized or de-identified. Its EscrowAI platform integrates trusted execution environments with confidential computing and other privacy-enhancing technologies — including NVIDIA H100 Tensor Core GPUs — to meet data protection requirements and protect data sovereignty, individual privacy and intellectual property.
  • Niramai, a startup that has developed an AI-powered medical device for early breast cancer detection. Its Thermalytix solution is a low-cost, portable screening tool that has been used to help screen over 250,000 women in 18 countries.

Building on a Trove of Healthcare Resources

Microsoft earlier this year announced a collaboration with NVIDIA to boost healthcare and life sciences organizations with generative AI, accelerated computing and the cloud.

Aimed at supporting projects in clinical research, drug discovery, medical imaging and precision medicine, this collaboration brought together Microsoft Azure with NVIDIA DGX Cloud, an end-to-end, scalable AI platform for developers.

It also provides users of NVIDIA DGX Cloud on Azure access to NVIDIA Clara, including domain-specific resources such as NVIDIA BioNeMo, a generative AI platform for drug discovery; NVIDIA MONAI, a suite of enterprise-grade AI for medical imaging; and NVIDIA Parabricks, a software suite designed to accelerate processing of sequencing data for genomics applications.

Join the Microsoft for Startups Founders Hub and the NVIDIA Inception program. 

Read More

NVIDIA and Microsoft Give AI Startups a Double Dose of Acceleration

NVIDIA is expanding its collaboration with Microsoft to support global AI startups across industries — with an initial focus on healthcare and life sciences companies.

Announced today at the HLTH healthcare innovation conference, the initiative connects the startup ecosystem by bringing together the NVIDIA Inception global program for cutting-edge startups and Microsoft for Startups to broaden innovators’ access to accelerated computing by providing cloud credits, software for AI development and the support of technical and business experts.

The first phase will focus on high-potential digital health and life sciences companies that are part of both programs. Future phases will focus on startups in other industries.

Microsoft for Startups will provide each company with $150,000 of Microsoft Azure credits to access leading AI models, up to $200,000 worth of Microsoft business tools, and priority access to its Pegasus Program for go-to-market support.

NVIDIA Inception will provide 10,000 ai.nvidia.com inference credits to run GPU-optimized AI models through NVIDIA-managed serverless APIs; preferred pricing on NVIDIA AI Enterprise, which includes the full suite of NVIDIA Clara healthcare and life sciences computing platforms, software and services; early access to new NVIDIA healthcare offerings; and opportunities to connect with investors through the Inception VC Alliance and with industry partners through the Inception Alliance for Healthcare.

Both companies will provide the selected startups with dedicated technical support and hands-on workshops to develop digital health applications with the NVIDIA technology stack on Azure.

Supporting Startups at Every Stage

Hundreds of companies are already part of both NVIDIA Inception and Microsoft for Startups, using the combination of accelerated computing infrastructure and cutting-edge AI to advance their work.

Artisight, for example, is a smart hospital startup using AI to improve operational efficiency, documentation and care coordination in order to reduce the administrative burden on clinical staff and improve the patient experience. Its smart hospital network includes over 2,000 cameras and microphones at Northwestern Medicine, in Chicago, and over 200 other hospitals.

The company uses speech recognition models that can automate patient check-in with voice-enabled kiosks and computer vision models that can alert nurses when a patient is at risk of falling. Its products use software including NVIDIA Riva for conversational AI, NVIDIA DeepStream for vision AI and NVIDIA Triton Inference server to simplify AI inference in production.

“Access to the latest AI technologies is critical to developing smart hospital solutions that are reliable enough to be deployed in real-world clinical settings,” said Andrew Gostine, founder and CEO of Artisight. “The support of NVIDIA Inception and Microsoft for Startups has enabled our company to scale our products to help top U.S. hospitals care for thousands of patients.”

Another company, Pangaea Data, is helping healthcare organizations and pharmaceutical companies identify patients who remain undertreated or untreated despite available intelligence in their existing medical records. The company’s PALLUX platform supports clinicians at the point of care by finding more patients for screening and treatment. Deployed with NVIDIA GPUs on Azure’s HIPAA-compliant, secure cloud environment, PALLUX uses the NVIDIA FLARE federated learning framework to preserve patient privacy while driving improvement in health outcomes.

PALLUX helped one healthcare provider find 6x more cancer patients with cachexia — a condition characterized by loss of weight and muscle mass — for treatment and clinical trials. Pangaea Data’s platform achieved 90% accuracy and was deployed on the provider’s existing infrastructure within 12 weeks.

“By building our platform on a trusted cloud environment, we’re offering healthcare providers and pharmaceutical companies a solution to uncover insights from existing health records and realize the true promise of precision medicine and preventative healthcare,” said Pangaea Data CEO Vibhor Gupta. “Microsoft and NVIDIA have supported our work with powerful virtual machines and AI software, enabling us to focus on advancing our platform, rather than infrastructure management.”

Other startups participating in both programs and using NVIDIA GPUs on Azure include: 

  • Artificial, a lab orchestration startup that enables researchers to digitize end-to-end scientific workflows with AI tools that optimize scheduling, automate data entry tasks and guide scientists in real time using virtual assistants. The company is exploring the use of NVIDIA BioNeMo, an AI platform for drug discovery.
  • BeeKeeperAI, which enables secure computing on sensitive data, including regulated data that can’t be anonymized or de-identified. Its EscrowAI platform integrates trusted execution environments with confidential computing and other privacy-enhancing technologies — including NVIDIA H100 Tensor Core GPUs — to meet data protection requirements and protect data sovereignty, individual privacy and intellectual property.
  • Niramai, a startup that has developed an AI-powered medical device for early breast cancer detection. Its Thermalytix solution is a low-cost, portable screening tool that has been used to help screen over 250,000 women in 18 countries.

Building on a Trove of Healthcare Resources

Microsoft earlier this year announced a collaboration with NVIDIA to boost healthcare and life sciences organizations with generative AI, accelerated computing and the cloud.

Aimed at supporting projects in clinical research, drug discovery, medical imaging and precision medicine, this collaboration brought together Microsoft Azure with NVIDIA DGX Cloud, an end-to-end, scalable AI platform for developers.

It also provides users of NVIDIA DGX Cloud on Azure access to NVIDIA Clara, including domain-specific resources such as NVIDIA BioNeMo, a generative AI platform for drug discovery; NVIDIA MONAI, a suite of enterprise-grade AI for medical imaging; and NVIDIA Parabricks, a software suite designed to accelerate processing of sequencing data for genomics applications.

Join the Microsoft for Startups Founders Hub and the NVIDIA Inception program. 

Read More

NVIDIA and Microsoft Give AI Startups a Double Dose of Acceleration

NVIDIA is expanding its collaboration with Microsoft to support global AI startups across industries — with an initial focus on healthcare and life sciences companies.

Announced today at the HLTH healthcare innovation conference, the initiative connects the startup ecosystem by bringing together the NVIDIA Inception global program for cutting-edge startups and Microsoft for Startups to broaden innovators’ access to accelerated computing by providing cloud credits, software for AI development and the support of technical and business experts.

The first phase will focus on high-potential digital health and life sciences companies that are part of both programs. Future phases will focus on startups in other industries.

Microsoft for Startups will provide each company with $150,000 of Microsoft Azure credits to access leading AI models, up to $200,000 worth of Microsoft business tools, and priority access to its Pegasus Program for go-to-market support.

NVIDIA Inception will provide 10,000 ai.nvidia.com inference credits to run GPU-optimized AI models through NVIDIA-managed serverless APIs; preferred pricing on NVIDIA AI Enterprise, which includes the full suite of NVIDIA Clara healthcare and life sciences computing platforms, software and services; early access to new NVIDIA healthcare offerings; and opportunities to connect with investors through the Inception VC Alliance and with industry partners through the Inception Alliance for Healthcare.

Both companies will provide the selected startups with dedicated technical support and hands-on workshops to develop digital health applications with the NVIDIA technology stack on Azure.

Supporting Startups at Every Stage

Hundreds of companies are already part of both NVIDIA Inception and Microsoft for Startups, using the combination of accelerated computing infrastructure and cutting-edge AI to advance their work.

Artisight, for example, is a smart hospital startup using AI to improve operational efficiency, documentation and care coordination in order to reduce the administrative burden on clinical staff and improve the patient experience. Its smart hospital network includes over 2,000 cameras and microphones at Northwestern Medicine, in Chicago, and over 200 other hospitals.

The company uses speech recognition models that can automate patient check-in with voice-enabled kiosks and computer vision models that can alert nurses when a patient is at risk of falling. Its products use software including NVIDIA Riva for conversational AI, NVIDIA DeepStream for vision AI and NVIDIA Triton Inference server to simplify AI inference in production.

“Access to the latest AI technologies is critical to developing smart hospital solutions that are reliable enough to be deployed in real-world clinical settings,” said Andrew Gostine, founder and CEO of Artisight. “The support of NVIDIA Inception and Microsoft for Startups has enabled our company to scale our products to help top U.S. hospitals care for thousands of patients.”

Another company, Pangaea Data, is helping healthcare organizations and pharmaceutical companies identify patients who remain undertreated or untreated despite available intelligence in their existing medical records. The company’s PALLUX platform supports clinicians at the point of care by finding more patients for screening and treatment. Deployed with NVIDIA GPUs on Azure’s HIPAA-compliant, secure cloud environment, PALLUX uses the NVIDIA FLARE federated learning framework to preserve patient privacy while driving improvement in health outcomes.

PALLUX helped one healthcare provider find 6x more cancer patients with cachexia — a condition characterized by loss of weight and muscle mass — for treatment and clinical trials. Pangaea Data’s platform achieved 90% accuracy and was deployed on the provider’s existing infrastructure within 12 weeks.

“By building our platform on a trusted cloud environment, we’re offering healthcare providers and pharmaceutical companies a solution to uncover insights from existing health records and realize the true promise of precision medicine and preventative healthcare,” said Pangaea Data CEO Vibhor Gupta. “Microsoft and NVIDIA have supported our work with powerful virtual machines and AI software, enabling us to focus on advancing our platform, rather than infrastructure management.”

Other startups participating in both programs and using NVIDIA GPUs on Azure include: 

  • Artificial, a lab orchestration startup that enables researchers to digitize end-to-end scientific workflows with AI tools that optimize scheduling, automate data entry tasks and guide scientists in real time using virtual assistants. The company is exploring the use of NVIDIA BioNeMo, an AI platform for drug discovery.
  • BeeKeeperAI, which enables secure computing on sensitive data, including regulated data that can’t be anonymized or de-identified. Its EscrowAI platform integrates trusted execution environments with confidential computing and other privacy-enhancing technologies — including NVIDIA H100 Tensor Core GPUs — to meet data protection requirements and protect data sovereignty, individual privacy and intellectual property.
  • Niramai, a startup that has developed an AI-powered medical device for early breast cancer detection. Its Thermalytix solution is a low-cost, portable screening tool that has been used to help screen over 250,000 women in 18 countries.

Building on a Trove of Healthcare Resources

Microsoft earlier this year announced a collaboration with NVIDIA to boost healthcare and life sciences organizations with generative AI, accelerated computing and the cloud.

Aimed at supporting projects in clinical research, drug discovery, medical imaging and precision medicine, this collaboration brought together Microsoft Azure with NVIDIA DGX Cloud, an end-to-end, scalable AI platform for developers.

It also provides users of NVIDIA DGX Cloud on Azure access to NVIDIA Clara, including domain-specific resources such as NVIDIA BioNeMo, a generative AI platform for drug discovery; NVIDIA MONAI, a suite of enterprise-grade AI for medical imaging; and NVIDIA Parabricks, a software suite designed to accelerate processing of sequencing data for genomics applications.

Join the Microsoft for Startups Founders Hub and the NVIDIA Inception program. 

Read More

NVIDIA and Microsoft Give AI Startups a Double Dose of Acceleration

NVIDIA is expanding its collaboration with Microsoft to support global AI startups across industries — with an initial focus on healthcare and life sciences companies.

Announced today at the HLTH healthcare innovation conference, the initiative connects the startup ecosystem by bringing together the NVIDIA Inception global program for cutting-edge startups and Microsoft for Startups to broaden innovators’ access to accelerated computing by providing cloud credits, software for AI development and the support of technical and business experts.

The first phase will focus on high-potential digital health and life sciences companies that are part of both programs. Future phases will focus on startups in other industries.

Microsoft for Startups will provide each company with $150,000 of Microsoft Azure credits to access leading AI models, up to $200,000 worth of Microsoft business tools, and priority access to its Pegasus Program for go-to-market support.

NVIDIA Inception will provide 10,000 ai.nvidia.com inference credits to run GPU-optimized AI models through NVIDIA-managed serverless APIs; preferred pricing on NVIDIA AI Enterprise, which includes the full suite of NVIDIA Clara healthcare and life sciences computing platforms, software and services; early access to new NVIDIA healthcare offerings; and opportunities to connect with investors through the Inception VC Alliance and with industry partners through the Inception Alliance for Healthcare.

Both companies will provide the selected startups with dedicated technical support and hands-on workshops to develop digital health applications with the NVIDIA technology stack on Azure.

Supporting Startups at Every Stage

Hundreds of companies are already part of both NVIDIA Inception and Microsoft for Startups, using the combination of accelerated computing infrastructure and cutting-edge AI to advance their work.

Artisight, for example, is a smart hospital startup using AI to improve operational efficiency, documentation and care coordination in order to reduce the administrative burden on clinical staff and improve the patient experience. Its smart hospital network includes over 2,000 cameras and microphones at Northwestern Medicine, in Chicago, and over 200 other hospitals.

The company uses speech recognition models that can automate patient check-in with voice-enabled kiosks and computer vision models that can alert nurses when a patient is at risk of falling. Its products use software including NVIDIA Riva for conversational AI, NVIDIA DeepStream for vision AI and NVIDIA Triton Inference server to simplify AI inference in production.

“Access to the latest AI technologies is critical to developing smart hospital solutions that are reliable enough to be deployed in real-world clinical settings,” said Andrew Gostine, founder and CEO of Artisight. “The support of NVIDIA Inception and Microsoft for Startups has enabled our company to scale our products to help top U.S. hospitals care for thousands of patients.”

Another company, Pangaea Data, is helping healthcare organizations and pharmaceutical companies identify patients who remain undertreated or untreated despite available intelligence in their existing medical records. The company’s PALLUX platform supports clinicians at the point of care by finding more patients for screening and treatment. Deployed with NVIDIA GPUs on Azure’s HIPAA-compliant, secure cloud environment, PALLUX uses the NVIDIA FLARE federated learning framework to preserve patient privacy while driving improvement in health outcomes.

PALLUX helped one healthcare provider find 6x more cancer patients with cachexia — a condition characterized by loss of weight and muscle mass — for treatment and clinical trials. Pangaea Data’s platform achieved 90% accuracy and was deployed on the provider’s existing infrastructure within 12 weeks.

“By building our platform on a trusted cloud environment, we’re offering healthcare providers and pharmaceutical companies a solution to uncover insights from existing health records and realize the true promise of precision medicine and preventative healthcare,” said Pangaea Data CEO Vibhor Gupta. “Microsoft and NVIDIA have supported our work with powerful virtual machines and AI software, enabling us to focus on advancing our platform, rather than infrastructure management.”

Other startups participating in both programs and using NVIDIA GPUs on Azure include: 

  • Artificial, a lab orchestration startup that enables researchers to digitize end-to-end scientific workflows with AI tools that optimize scheduling, automate data entry tasks and guide scientists in real time using virtual assistants. The company is exploring the use of NVIDIA BioNeMo, an AI platform for drug discovery.
  • BeeKeeperAI, which enables secure computing on sensitive data, including regulated data that can’t be anonymized or de-identified. Its EscrowAI platform integrates trusted execution environments with confidential computing and other privacy-enhancing technologies — including NVIDIA H100 Tensor Core GPUs — to meet data protection requirements and protect data sovereignty, individual privacy and intellectual property.
  • Niramai, a startup that has developed an AI-powered medical device for early breast cancer detection. Its Thermalytix solution is a low-cost, portable screening tool that has been used to help screen over 250,000 women in 18 countries.

Building on a Trove of Healthcare Resources

Microsoft earlier this year announced a collaboration with NVIDIA to boost healthcare and life sciences organizations with generative AI, accelerated computing and the cloud.

Aimed at supporting projects in clinical research, drug discovery, medical imaging and precision medicine, this collaboration brought together Microsoft Azure with NVIDIA DGX Cloud, an end-to-end, scalable AI platform for developers.

It also provides users of NVIDIA DGX Cloud on Azure access to NVIDIA Clara, including domain-specific resources such as NVIDIA BioNeMo, a generative AI platform for drug discovery; NVIDIA MONAI, a suite of enterprise-grade AI for medical imaging; and NVIDIA Parabricks, a software suite designed to accelerate processing of sequencing data for genomics applications.

Join the Microsoft for Startups Founders Hub and the NVIDIA Inception program. 

Read More